1988 results about "JSON" patented technology

Spreadsheet functions are provided that enable interactivity with web services and manipulation of data retrieved from a web service call. One function takes a URL as an argument and performs an HTTP GET request asynchronously to return the response into the spreadsheet application. Another function URL encodes its argument. The URL encoded argument can then be used as part of the URL of the web service call. Yet another function is a filtering function that takes XML, JSON, HTML, and other forms of data that may be returned via a web service call to obtain specific data such as via an XPath standard when XML is used. These functions may be used together or separately.

The present application is directed towards systems and methods for providing user interfaces for management applications via a definition-based graphical user interface (GUI) framework for developing web based management applications for servers, intermediaries, routers, wide area network (WAN) accelerators, caches, switches, or any other type and form of computing device. The plug-in free framework reduces the server's resource consumption and bandwidth by making a full use of resources available on the client computing device or browser. A complete web application can be developed using JavaScript Object Notation (JSON) definitions along with a representational state transfer (REST) based application programming interface (API) efficiently using the framework, which may comprise light-weight pure JavaScript or similar executable code. In many embodiments, the framework may be layered in a model-view-controller (MVC) architecture easing resource consumption, maintenance and extensibility.

The present invention provides a method for generating a three-dimensional (3D) building model based on photographed house type image identification. The method is used for solving the problem conventional house-type-image-based 3D reconstruction methods are not suitable for photographing-version house type images. Aiming at characteristics of a photographing- version house type image, correction treatment is first carried out on the photographing- version house type image, thus to enable the quality of the corrected image to be similar to that of an electronic-version house type image, thereby bringing convenience for follow-up house type image identification; carrying out wall body identification according to the characteristics of the photographing-version house type image, and carrying out size correction and closing of wall bodies, and generating a cross-platform JSON file; and ultimately using wall body information of the JSON file by Unity3D to carry out 3D reconstruction. With adoption of the method provided by the present invention, identification of photographed house type images is realized, the 3D building model is generated, the problem that the photographed house type image is inclined can be effectively solved, a wall body calculating method based on wall body intersecting anchor points is provided, and thus the following generated 3D wall bodies can be conveniently freely pulled and stretched based on the anchor points.

A direct manipulation event associated with a chart of an analytics report can be detected. The event can be a user interface input and the chart can be an information graphic. The graphic can be a graphically rendered HTML compliant element and a data set. The report can conform to a JAVASCRIPT OBJECT NOTATION (JSON) format. The analytics report can be presented within a browser. An action can be run responsive to the detecting. The action can be an immediate rendering of the graphic based on the event. When the action executes a request for data not in the data set data from a different data set can be obtained. When the action executes a request for data in the data set, the data from the data set can be automatically retrieved. The analytics data can be immediately rendered as a chart within the canvas element of an HTML document.

The invention belongs to the technical field of industrial big data application, and particularly relates to an industrial big data multidimensional analysis and visualization method based on a JSON document structure. The method comprises the following steps: by taking JSON as a basic carrier of data, constructing an industrial data mart in parallel by utilizing Spark and ElasticSearch through configuring a relational database and a file system data source and defining data conversion and data cleaning operations; configuring an overall process of data analysis in a graphical mode to construct an analysis data set of a multi-dimensional structure, and repeated association operation on massive data being avoided; and for a specific data analysis scene, customizing each dimension calculation index of the data analysis report in a visual dragging mode based on a pre-constructed multi-dimensional analysis data set, and generating an interactive graphic analysis report. According to the method, the JSON document format is used as a carrier of basic data, and the advantages of the JSON document format in storage and analysis are utilized, so that multi-dimensional analysis structure modeling and user-defined interactive analysis are more convenient and efficient.

The confidentiality of JavaScript Object Notation (JSON) message data is secured using an encryption scheme. The encryption scheme implements a JSON encryption syntax, together with a set of processing rules for creating encrypting arbitrary data in JSON messages in a platform / language independent manner. A method for encrypting a data item in a JSON message begins by applying an encryption method and a key to the data item to generate a cipher value. A data object is then constructed that represents an encryption of the data item. The data item in the JSON message is then replaced with the data object, and the resulting modified JSON message is then output from a sending entity. At a receiving entity, information in the data object is used to re-generate the data item, which is then placed back in the original message.

A capture and replay system identifies images displayed during an application session. A parser may generate Hypertext Markup Language (HTML) code from an application resource file or from the JSON post made by the application. A replay engine may use the HTML code to recreate at least some of the screens displayed during the application session. The capture and replay system may dynamically identify images that are not reproduced from the resources database and request an agent / (s) to asynchronously upload the image files associated with the images. The replay engine may use the uploaded image files to replay the application session. The capture and replay system may capture application sessions more efficiently by reproducing images from the resource file instead of capturing the images during the original application session and by dynamically requesting image files for the images were are not previously reproduced from the resource file. Once an image file is uploaded to server, it does not need to be requested again from any other agent.

The invention relates to an interactive method of image semi-automatic annotation, comprising S1 dividing an initial sample into three different types of annotation samples according to different category attributes; labeling the three types of labeling samples manually to get different kinds of labeling results, and then using three models of Mask-RCNN, Fast-RCNN and FCN to train separately; S2 processing the data set of the picture to be annotated in an offline manner, wherein the annotating process is that the data set of the picture to be annotated passes through the three depth learning models in turn to output the json format files of all types and coordinate points of the data samples; S3 calling the relevant attribute tag value and coordinate point value of the json format file according to the name of the annotated image; S4 displaying the corresponding automatic marking result in the marking software, and judging whether the category and area marking of the target object arestandardized and reasonable by manpower; S5 carrying out data augmentation on the correctly labeled labeling samples and feeding back the augmented data to the model for retraining.

The addition of relative term positions, temporal positions, and segment identifiers to an inverted index allows for temporal and phrase queries of multimedia assets. Segment identifiers enable any search results to be examined in context. The system makes advantageous use of Lucene's binary payload functionality to store temporal data and segment identifiers as additional binary data for each term instance in the inverted index. The payloads are made up of three variable-length integers, which account for twelve extra bytes of metadata, which are stored for each term instance. A content database on a Master / Administrator server node provides the indexes for search into content in response to user events, returning results in JSON format. The search results may then be used to locate and present content segments to a user containing both requested search term results and the time location within the multimedia asset in which the search term(s) is found.

Systems and methods of the present disclosure are directed to defining a data store format for storing state information related to border-gateway protocol (BGP) routing information base (RIB) entries, BGP Neighbor Tables, intermediate system-intermediate system (IS-IS) adjacencies, Link-State Databases, Interface information, Chassis information, etc in a binary format. A brick data store (BDS) system can define tables, table properties, objects and attributes for an application in the system using configuration files expressed in Java Script Object Notation (JSON). The data format can be uniform across inter-process communication, file and in-memory representation.

An embodiment of the invention discloses a product similarity based e-commerce recommendation system and a method thereof. The method of the product similarity based e-commerce recommendation system comprises analyzing e-commerce shopping website log information and performing filtration statics on the log; obtaining product popular information from a product database and performing weight customization; extracting corresponding recommendation information in combination with a user search log and the product popular information, establishing a similar product group through a collaborative filtering algorism which is based on the product similarity, transmitting data of similar products to a recommendation element redis; recommending a search engine with the http serving as a request protocol, supporting two recommendation functions according to different requirements (highly recommendation and browsing history recommendation), obtaining corresponding recommendation element set according to user parameters and expanding search query conditions to research; returning a recommendation result in Json data format. The method of the product similarity based e-commerce recommendation system has the advantages of improving the recommendation accuracy, achieving accurate recommendation of products and satisfying user requirements for selecting individualization products from mass products.

The invention relates to a method for rendering a mobile application interface through data. The method comprises the following steps S1 to S3, wherein the step S1 is to implant a page template htm1 and a control xm1 in a server, and form a Json data packet of page data and control data through analysis; the step S2 is to send a request to the server by a client end, receive the Json data packet and convert the Json data packet into a page model; the step S3 is to process data of the page model for generating a page event and a page control, and render a page layout at the same time. The beneficial effects are that a mobile web page can be rendered through data; front-end programmers are enabled to implement details without excessively focusing page controls, so that development time is shortened, and the reuse degree of pages between mobile applications is increased.

The invention provides a bullet screen message processing method and system, and a bullet screen message analysis method and system. The processing method comprises the following steps: S1a, obtaining data contents of bullet screen messages and data type information of the data contents, wherein the data contents of the bullet screen messages comprise a plurality of sub data blocks; S2a, connecting the sub data blocks of the data contents into a whole data content by a first separator; and S3a, connecting the data type information and the whole data content by a second separator to form the bullet screen messages. According to the processing method provided by the invention, the data of the bullet screen messages are connected together by different separators, compared with the universal JSON format, the memory capacity occupied by the same data is smaller, the compression ratio is higher, and the requirements of high concurrency of the data of the bullet screen messages can be satisfied.

The embodiment of the invention provides a user behavior analysis method and system based on streaming calculation. The method and system are used for achieving real-time analysis of user behaviors and improving the accuracy of user behavior analysis. The method comprises the steps that user behavior data is acquired from at least two channels and is converted into JSON data packets in a unified format, wherein the user behavior data comprises user behavior paths, time indexes, user basic label data, transaction data, activation and retention, click behaviors and platform types; a Spark Streaming computing engine is used for carrying out real-time user behavior analysis on the user behavior data, wherein the user behavior analysis comprises event analysis, user retention analysis, funnel analysis, user behavior path analysis, transaction analysis, user portraits and click analysis; user behavior analysis results are stored, and corresponding analysis results are displayed according toquery requests of users.

A normalization engine, system and method provide normalization of and access to data between heterogeneous data sources and heterogeneous computing devices. The engine includes connectors for heterogeneous data sources, and conduits for gathering a customized subset of data from the data sources, as required by a software application with which the conduit is compatible. Working together, the connector and conduit may gather large amounts of data from multiple data sources and prepare a subset of the data that includes only that data required by the application, which is particularly advantageous for mobile computing devices. Further, the conduit may process the subset data in various formats to provide normalized data in a single format, such as a JSON-formatted REST web service communication compatible with heterogeneous devices. As an intermediary, the normalization engine may further provide caching, authentication, discovery and targeted advertising to mobile computing and other computing devices.

The application relates to a data interaction method and apparatus between a server and a client. The method comprises the steps of S11. presetting an XML (Extensive Makeup Language) data file and a JavaScript file in a server and creating a webpage page to be requested; S12. when a page access request is originated at a client, converting the preset XML data file into a JSON (JavaScript Object Notation) character string by the server, inserting the converted JSON character string and a preset javaScript file address link into the webpage page and sending the webpage page to the client; and S13. when the javaScript file monitors input information inputted by the client, processing the JSON character string and displaying processing results corresponding with the input information on the webpage page. According to the application, server data processing logic can be transferred to a client for operation, thereby effectively minimizing times of real time server interaction between a server and a client, reducing network treatment time-delay, minimizing potential safety hazard caused by frequent requests and guaranteeing consistency of data processing logic.

The invention discloses an intelligent home system structure and a control method thereof. The intelligent home system structure mainly comprises a knapp cloud platform, an intelligent home control center, an electrical appliance system, a feedback control device system, a repeater, an environmental monitoring system and an intelligent equipment terminal. The intelligent home control center is respectively connected to the electrical appliance system, the feedback control device system, the repeater and the knapp cloud platform. The repeater is connected to the feedback control device system and the environmental monitoring system. The knapp cloud platform is also connected to the intelligent equipment terminal. According to the intelligent home system structure and the control method, through the knapp cloud platform, data information is collected and released to the intelligent mobile phone, a tablet computer and the control center, and the connection of a mobile control platform with a plurality of intelligent equipment is realized through message middlewares in the format of JSON data packets. The wireless connection (WIFI, ZigBee) is employed by the whole layout, the complex comprehensive wire layout is avoided, the adding of new intelligent equipment by a user is facilitated, a remote application is added into the interface of the control center, and the structure is more humanized.

The invention relates to the field of software test, and provides an automatic interface test method, device and equipment and a storage medium. The method comprises the following steps of: obtaininginterface documents of different interfaces, and automatically generating Json test examples of the different interfaces according to the interface documents; automatically generating a test case template according to the Json test examples, automatically generating a Json test case according to the test case template, and automatically generating a Jmeter test script according to the Json test case; and generating an integration test case according to the Jmeter test script, calling the integration test case through a test tool, triggering the Jmeter test script to carry out test through theintegration test case, and automatically outputting a test result. According to the automatic interface test method, device and equipment and the storage medium, the automation degree of interface test can be improved, and the maintenance of the test cases during the interface modification is convenient.

Systems and methods are provided for specifying transformations of JSON objects using other JSON objects. A first object is received specified using JavaScript Object Notation. The first object includes a set of one or more attributes where each attribute is of a predetermined JSON data type and has at least one value. A second object is also received specified using JavaScript Object Notation. The second object includes a set of one or more attributes each corresponding to at least one attribute in the set of attributes of the first object and having at least one value defining one or more transformations. A third object specified using JavaScript Object Notation is generated based on transforming the first object using the second object.

The invention provides a client message conversion method, which comprises that: firstly, a client receives an extensible markup language (XML) message template from a server; secondly, the client converts the XML message template into at least one JavaScript object notation (Json) message template; thirdly, the client instantiates the Json message template into a Json message template object, and stores the Json message template object and a key value corresponding to the Json message template object into a Hash table; fourthly, the client embeds externally input service information into theJson message template object; and finally, the client converts each Json message template object into a Json character string, and transmits the Json character string to the server. Therefore, network traffic occupied by an XML format in network transmission is reduced, transmission speed is increased, and flexible conversion between the XML format and the Json format is realized. In addition, a part of data storage and operations tasks are transferred to the client, so the operation pressure of the server is reduced.

The invention belongs to the field of equipment sensor communication, and discloses a multiprotocol distributed data acquisition control system of an equipment sensor and a method thereof. The control system in the invention comprises a data acquisition controller, a data centralized processing controller, a protocol configuration device and a result display server. The data centralized processing controller is respectively connected with the data acquisition controller, the protocol configuration device and the result display server in a communication way via a wired or wireless network. The method comprises the working steps which are respectively completed by the protocol configuration device, the data centralized processing controller, the data acquisition controller and the result display server. JSON-structured protocol packets are generated via configuration by the protocol configuration device according to data acquisition protocols of different types of the equipment sensors, and the additionally arranged data parsing functions are stored in a function library so as to be used by configuration of new protocols. According to the new protocols, data acquisition of different types of the equipment sensors can be realized by the data acquisition controller.

The invention discloses an object serialization method and device. The object serialization method includes the steps that a target object is acquired; a Json object corresponding to the target object is built, wherein the Json object is a class used for operating the attribute of the target object; the target object is converted into the Json object; a serialization character string of the target object is generated through the Json object. Due to the object serialization method and device, rigid mapping between a serialization result and the target object in structure does not exist, and the sterilization result can be freely controlled.

The invention relates to a network topology structure showing method based on a plane mode, which comprises the following steps: reading interconnected device information in the network from a database, building an independent network element object for each device information item, saving device names, device IPs and device types, and loading a resource level in the entire network topology system, wherein a device network element with low resource level is directly shown by acquiring the second line topology; loading link resource from the database, saving uplink and downlink devices in a device object according to the link direction, and preparing for acquiring the data of the downlink device and alarming the uplink device; initiating an ajax request by a foreground Webtopo to draw a plus sign for the network element object; clicking a right button on the device with a plus tag for acquiring the downlink device; carrying out entire network link discovery by a corresponding background link discovery procedure in a toolbar menu; carrying out analysis link alarming according to alarming level and style to change the mode of the link after acquiring data with json format.

The invention provides a processing method and system for tree structured data (STEED) and relates to the technical field of data processing. The system supports reading of text data and analyzes the text data into row or column type binary data, wherein in the analysis process, a grammar tree is dynamically generated and definitions of semi-structured data are stored; the row or column type binary data is stored, wherein the row or column type binary data is mutually converted and the binary data is directly output as JSON data in a text format; and based on the binary data, the semi-structured data is subjected to query operation.

JSON (JavaScript Object Notation) message integrity is provided using a digital signature scheme. The digital signature scheme implements a set of processing rules for creating and representing digital signatures using a JSON signature syntax. The syntax preferably comprises a set of named elements, including a reference element, a signature information element, and a signature element. In one embodiment, a machine-implemented method for signing a JSON message begins by constructing a reference element for each data object in the JSON message to be signed. The data object is identified by a reference identifier. The reference element includes the reference identifier, a pointer (such as a URI) to a digest method, and a digest generated by applying the digest method to the data object or a given function of the data object. Then, a signature information element is constructed for one or more of the reference elements corresponding to the one or more data objects in the message that are being signed. The signature information element includes a pointer to a signature method, as well as one or more reference elements, or a canonical form of the one or more reference elements. Then, a signature element is constructed. The signature element includes the signature information element, and a signature value generated by applying the signature method (identified in the signature information element) to the signature information element. The signature element is the JSON message signature. The signature enables a sending entity (such as a Web browser or Web server) to generate a digest on all or parts of a JSON message and then to secure the digests using a signing key.

The invention relates to an Internet of Things cloud access method and system based on Web Service. The method comprises the following steps of: 1, sending registration request information to a cloud receiving end through an Internet of Things emitting client; 2, feeding digital certificate information back to the Internet of Things emitting client by the cloud receiving end after receiving the registration request information; 3, acquiring a service resource identifier of the cloud receiving end through the Internet of Things emitting client; and 4, bidirectionally sending data information to the cloud receiving end at fixed period by the Internet of Things emitting client according to the service resource identifier and the digital certificate information. According to the Internet of Things cloud access method and system based on the Web Service, both the generality and the flexibility are combined, thus the problem of the conventional cloud access system can be solved well, the access equipment of various types can be compatible, and the data can be safely and reliably transmitted to a cloud center through the Internet of Things emitting client; an HTTP / HTTPS (Hyper Text Transport Protocol / Hypertext Transfer Protocol Secure) protocol is adopted, therefore, the possibility of error interception is avoided; and with the adoption of a self-defined JSON (JavaScript Object Notation) message format providing envelope mechanism, the industrial data models of various types are supported.

User-specified GPU kernel functions and input data sets are sent over a Web service to a remote computer equipped with a programmable GPU (Graphics Processing Unit) for execution. The Web service then returns resulting data to a client, which uses the same Web service. This is accomplished by incorporating a serialized request formed from the GPU kernel function code and input data set by using JavaScript® Object Notation (JSON) serialization. The request is then sent to the remote computer and programmable GPU, where the request is deserialized, kernel code is compiled, and input data copied to the GPU memory on the remote computer. The GPU kernel function is then executed, and output data is copied from the GPU memory on the remote computer and reserialized using JSON to form a serialized response. The serialized response is then returned to the client via the web service.

The invention provides an Internet of things gateway, which comprises an interface connection module, an information receiving module, and a protocol conversion module, wherein the interface connection module is used for being connected with a wireless sensing terminal for data interaction; the information receiving module is used for receiving sensing data via the interface connection module from the wireless sensing terminal and sending control information to the wireless sensing terminal; and the protocol conversion module is used for converting a message protocol in a JSON type defined by an Internet of things management platform into an actual control protocol corresponding to the wireless sensing terminal according to the type of the wireless sensing terminal or converting the sensing data to a JSON type format in a unified mode and sending the format to the Internet of things management platform, thereby realizing protocol conversion and matching between each node and the Internet of things management platform in a wireless sensing network.

The invention discloses an object deserialization method and device. The method includes: acquiring target character strings; creating the Json objects corresponding to the target character strings; converting the target character strings into the Json objects; generating the objects of the character strings according to the Json objects; wherein the Json objects are categories which have Json attributes and used for setting operations. By the method, mismatching of Json character string contents and target objects can be avoided, the deserialization failure caused by the mismatching can be avoided, and deserialization can be performed successfully.

The invention discloses a fusion method of building BIM model and live-action three-dimensional model. The fusion and conversion process mainly comprises model reconstruction, geometric information conversion, model three-dimensional registration and semantic mapping. The fusion method comprises the steps that firstly, a building BIM model is split, and json attribute files and ifc geometric filesof all components are generated; then, intermediate format exchange is carried out, and ifc is converted into obj; obj is converted into glTF, and three-dimensional geometric figure data transmissionis further achieved; then attributes and geometric data are connected, and glTF and json generate b3dm; and finally, a data description file tileset.json are added, and the data description file tileset.json and b3dm are converted into 3DTiles data. According to the method, the semantic attribute characteristics in the BIM original model are reserved while the geometric figures are completely expressed, and the spatial positions of the two models are unified in the same environment, so that an internal and external integrated display effect is achieved.